Prompt compression API featuring the bear-2 model that strips low-signal tokens from raw LLM inputs such as documents, websites, and transcripts before they hit the LLM context...
Prompt compression API featuring the bear-2 model that strips low-signal tokens from raw LLM inputs such as documents, websites, and transcripts before they hit the LLM context window. Works with GPT, Claude, Gemini, and any chat completion endpoint. Offers two operating points: hold accuracy flat for maximum cost savings, or take a smaller token cut and lift accuracy by several points.
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
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